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maanova (version 1.42.0)

Tools for analyzing Micro Array experiments

Description

Analysis of N-dye Micro Array experiment using mixed model effect. Containing analysis of variance, permutation and bootstrap, cluster and consensus tree.

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Version

Monthly Downloads

154

Version

1.42.0

License

GPL (>= 2)

Maintainer

Keith Sheppard

Last Published

February 15th, 2017

Functions in maanova (1.42.0)

fill.missing

Fill in missing data
matest

Statistical test for Microarray experiment
fitmaanova

Fit ANOVA model for Micro Array experiment
volcano

Volcano plot for F test results
gridcheck

Plot grid-by-grid data comparison for arrays
resiplot

Residual plot for Microarray Experiment
write.madata

Write Micro Array data to a TAB delimited simple text file
dyeswapfilter

Gene filter for dye-swap experiment
abf1

Data for a 18-array Affymetrix experiment
consensus

Build consensus tree out of bootstrap cluster result
arrayview

View the layout of input data
riplot

Ratio intensity plot for 2-dye Microarray experiment
Rmaanova.version

Display the current version of the package
subset.madata

Subsetting Microarray data objects
geneprofile

Expression plot for selected genes
PairContrast

Pairwise comparison matrix
fom

Figure of Merit
read.madata

Read Microarray data
summarytable

Summarize the matest result.
macluster

Clustering analysis for Microarray experiment
adjPval

Generate FDR adjusted P values for F test result.
kidney.raw

Kidney Data from CAMDA
maanova-internal

Internal maanova functions
transform.madata

Micro Array experiment data transformation
varplot

Variance component plot